Triple

T874597
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Housing and Urban Affairs, India E18887 entity
Predicate abbreviation P43 FINISHED
Object MoHUA
MoHUA is the central government ministry in India responsible for formulating and implementing policies and programs related to housing, urban development, and urban infrastructure.
E103942 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MoHUA | Statement: [Ministry of Housing and Urban Affairs, India, abbreviation, MoHUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoHUA
Context triple: [Ministry of Housing and Urban Affairs, India, abbreviation, MoHUA]
  • A. Muh-he-con-neok
    Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Mie
    Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MoHUA
Triple: [Ministry of Housing and Urban Affairs, India, abbreviation, MoHUA]
Generated description
MoHUA is the central government ministry in India responsible for formulating and implementing policies and programs related to housing, urban development, and urban infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MoHUA
Target entity description: MoHUA is the central government ministry in India responsible for formulating and implementing policies and programs related to housing, urban development, and urban infrastructure.
  • A. Muh-he-con-neok
    Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Mie
    Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8520a008190a15bdb93e8ce2438 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b9774df881908fbd4d1b54442cdc completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba46a2ec8190892404cb1f259cf0 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.